Difference between revisions of "Pattern Recognition"

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(강의노트)
(강의노트)
 
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[기타]
 
[기타]
  
0. [[Media:0_Transposed convolution.pdf|Transposed Convolution]]
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1. [[Media:0_Transposed convolution.pdf|Transposed Convolution]]
  
1. [[Media:1_Word Embedding.pdf|Word Embedding]]
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2. [[Media:1_Word Embedding.pdf|Word Embedding]]
  
2. [[Media:2_Transfer Learning.pdf|Transfer Learning]]
+
3. [[Media:2_Transfer Learning.pdf|Transfer Learning]]
 
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3. [[Media:ServerInstructions.pdf|Server 사용법]]
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Latest revision as of 12:52, 12 June 2017

[edit] 강의노트

1. Computer Vision 소개

2. Machine Learning AI 소개

3. 전통적인 접근법

4. SVM-1

5. SVM-2

6. TesnsorFlow로 NN 실험

7. TensorFlow로 Regression 실험

8. CNN Motivation

9. AlexNet

10. Understanding CNN

11. Backpropagation-1

12. Backpropagation-2

13. SGD

14. Object Detection

15. Object Segmentation

16. RNN

17. LSTM

18. Statistical Machine Translation

19. Video Processing

20. Reinforcement Learning

21. AlphaGo


[기타]

1. Transposed Convolution

2. Word Embedding

3. Transfer Learning

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